Clicker, video search and recommendation service on Wednesday announced that it was integrated with Facebook, and now it can take advantage of Facebook’s social graph, user and friends according to interests, to provide users personalized recommendation service.
Use of Facebook’s social data, Clicker.com redesigned the site and launched “Clicker forecast” service, recommend them to the user may want to watch movies and TV shows. When Facebook first time a user logs on to the site, Clicker can according to the Web site Facebook, users “like” over the content, to provide him with personalized recommendations.
Clicker This is a significant change: it can now use Facebook user behavior data to provide personalized, the user may be interested in the contents of the “flow” of the; and more importantly, users do not need too much input in the Clicker website Multiple Data (through rate, comment or watching video on the way Clicker.com), Clicker can provide such services. Clicker for the first time users, the recommendation engine can be based on their Facebook activities to classify them and determine what their interests.
But Facebook’s data is only part of the data Clicker whole; Clicker said it recommended the video recommendation engine will take into account 50 different factors, including user ratings and the interaction with the Clicker website. In other words, Facebook’s data is only the starting point for Personalized Recommendation. With the passage of time and Clicker to collect more relevant information and user preferences, Facebook’s data is no longer very important, because then there will be more Clicker wealth of information available.